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While The nonlocal(NL)-means filter introduced by Buades et al. have speedily entered the hall of fame of denoising methods, its computational complexity is quite a burden, we propose a newly automatical and efficient preselection-based NL-means filter, using the 2DPCA technique. Mainly, our contributions to the NL-means filter are: 1) a preselection of the most relevant pixels using the 2DPCA technique;...
Hand-based identification have developed very recently. This paper proposes a recognizing method for defocused palmprint images using 2DPCA. In order to achieve the purpose of intercepting region of interest (ROI) of palmprint under contactlass mode, we used profile information of palm and root of fingers situations to locate characteristic points of contour. Next, the palmprint features were extracted...
In this paper, a novel wood identification approach based on the two-directional two-dimensional PCA ((2D)2PCA) method is proposed in contrast to the principal component analysis(PCA), two-dimensional PCA(2DPCA), column-directional 2DPCA(c2DPCA). PCA is a classical technique used to find patterns in high dimensional data. Wood identification based on PCA must transform 2D image matrix into 1D vector,...
This paper presents a novel color face recognition approach based on 2DPCA. A matrix-representation model, which encodes the color information directly, is proposed to describe the color face image. The matrix-representation model defines the pixel in color face image as the basic unit, the color information of the pixel as the basic component, and then represents the color face image efficiently...
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